Yanlin Wang
Artificial Intelligence · with Du · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Natural Language Processing — 40 citations into it
- Information Systems — 34 citations into it
- Code Generation & Program Synthesis — 16 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Yanlin Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Ilya Sutskever
- Geoffrey E. Hinton
- Oriol Vinyals
- Miltiadis Allamanis
- Yoshua Bengio
- Chin-Yew Lin
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
Papers from Yanlin Wang's perspective
Ordered by how strongly the researchers Yanlin Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- UniXcoder: Unified Cross-Modal Pre-training for Code Representation (2022) — 1,023 citations
- CoCoGUM: Contextual Code Summarization with Multi-Relational GNN on UMLs (2020) — 24 citations